The Role
Build, maintain, and monitor scalable data pipelines, ETL processes, and data models. Ensure data quality and consistency, collaborate with stakeholders to translate needs into technical solutions, and create BI dashboards and data products using cloud data warehouses and analytics tools.
Summary Generated by Built In
Analytics at TRACTIAN
What you'll do
Responsibilities
Requirements
Compensation & Benefits
The Analytics team is responsible for building and maintaining from the data pipelines until the dashboards that feed up our customers and internal data products with relevant and actionable information. This department ensures reliable, trustworthy and meaningful data, merging them from several sources and delivering them in the edge efficiently. The team's core objective is to build reliable and insightful data products from the raw consumption of the data from different sources until the dashboards delivery to the consumer.
As an Analytics Engineer, you will build data products by designing, building, and maintaining robust data pipelines and dashboards that empower business teams with actionable insights. You will work closely with data analysts, data scientists, and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization.
Responsibilities
- Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.
- Design, implement, and optimize data models to support reporting and analytical needs.
- Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.
- Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.
- Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.
- Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.
- Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
- Create dashboards as data products as internal or external products
Requirements
- Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a related field.
- 2+ years of experience in Data Science or Analytics.
- Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and Clickhouse.
- Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
- Experience with BI tools (e.g., PowerBi, Looker, Tableau)
- Experience with cloud-based data platforms like AWS Redshift.
- Experience with programming languages such as Python.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Advanced/fluent Portuguese.
- Competitive salary and stock options
- 30 days of paid annual leave
- Education and courses stipend
- Earn a trip anywhere in the world every 4 years
- R$1.035/month for meals allowance
- Health plan with national coverage and without coparticipation
- Dental Insurance: we help you with dental treatment for a better quality of life.
- Wellhub and Sports Incentive: R$300/mo extra if you practice activities
Skills Required
- Degree in Computer Engineering, Data Science, Statistics, Computer Science, or related field
- 2+ years of experience in Data Science or Analytics
- Strong SQL skills and experience with PostgreSQL and Clickhouse
- Experience with data warehousing concepts and ETL tools such as Airflow and dbt
- Experience with BI tools (PowerBi, Looker, Tableau)
- Experience with cloud-based data platforms like AWS Redshift
- Experience with Python
- Excellent communication skills to convey technical concepts to non-technical stakeholders
- Advanced/fluent Portuguese
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Tractian is a machine-intelligence company delivering integrated hardware, cloud software and AI to prevent machine failures and boost industrial uptime. Their offering combines vibration and condition sensors, TracOS maintenance-management software, and AI-driven analytics to enable predictive maintenance, energy optimization and operational visibility for factories and asset-heavy operations globally.
